Quantitative developer – execution infrastructure

We are seeking a Quantitative Developer – Execution Infrastructure to design and build the next generation of trading infrastructure for our systematic and discretionary trading businesses. The ideal candidate will have 3+ years of experience in developing robust order management systems, execution platforms, market data infrastructure, risk controls and trader-facing applications.

Key Responsibilities

Trading Infrastructure

Design and build production-grade OMS and EMS systems. Develop exchange connectivity and broker integration layers. Build order routing and execution frameworks. Design systems capable of handling high message throughput with deterministic behavior. Implement robust recovery mechanisms for market interruptions, broker outages, and system failures.

Execution Algorithms

Develop and maintain semi-automated execution algorithms. Build smart order routing and execution scheduling tools. Create trader-assist workflows for execution monitoring and intervention. Implement execution analytics and transaction cost analysis frameworks.

Market Data Systems

Build and maintain real-time market-data pipelines. Develop systems for ingestion, normalization, aggregation, and storage of market data. Ensure low-latency dissemination of data across internal systems. Design historical tick-data storage and retrieval infrastructure.

Risk & Controls

Implement pre-trade and post-trade risk controls. Develop position monitoring and exposure management systems. Build automated alerts, kill switches, and circuit-breaker frameworks. Ensure auditability and compliance of trading workflows.

Reliability & Production Engineering

Build observability frameworks including monitoring, logging, alerting, and diagnostics. Improve system resiliency, failover mechanisms, and disaster recovery processes. Participate in production support and incident response. Continuously optimize performance, scalability, and operational robustness.

Trader-Facing Tools

Develop dashboards and applications used by traders and portfolio managers. Build monitoring systems for orders, executions, positions, risk, and P& L. Improve workflow automation across trading operations.

Must-Have Skills

Software Engineering

Strong proficiency in Python. Strong proficiency in one systems language: Rust (preferred) C++ Go Deep understanding of: Concurrency Multithreading Event-driven architectures Distributed systems Network programming

Trading Systems

Experience building one or more of:

OMS EMS Exchange connectivity Market-data systems Execution platforms Real-time risk systems Low-latency infrastructure

Databases & Data Engineering

Postgre SQL Time-series databases Redis or equivalent caching systems Message queues and streaming systems

Production Engineering

Experience with:

Monitoring Logging Alerting CI/CD Linux environments Containerized deployments

Preferred Skills

Experience in options, futures, or systematic trading. Knowledge of exchange protocols and market connectivity. Understanding of market microstructure. Experience with low-latency system design. Familiarity with cloud infrastructure. Experience working in hedge funds, prop trading firms, brokerages, exchanges, or HFT firms.

Ideal Candidate Profiles

3 to 5 years of relevant work experience OMS/EMS Developer at a broker or exchange Trading Infrastructure Engineer at a hedge fund Electronic Trading Engineer Quant Platform Engineer HFT Systems Engineer Exchange Connectivity Developer Low-Latency Systems Engineer